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Measuring perception in AI models

New benchmark for evaluating multimodal systems based on real-world video, audio, and text data From the Turing test to ImageNet, benchmarks have played an instrumental role in shaping artificial intelligence (AI) by helping define research goals and allowing researchers to measure progress towards those goals. Incredible breakthroughs in the past 10 years, such as AlexNet…

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Benchmarking the next generation of never-ending learners

Notes References [1] John M Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ron-neberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Zídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A A Kohl, Andy Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David A. Reiman, Ellen Clancy, Michal Zielinski,…

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DeepMind’s latest research at NeurIPS 2022

Advancing best-in-class large models, compute-optimal RL agents, and more transparent, ethical, and fair AI systems The thirty-sixth International Conference on Neural Information Processing Systems (NeurIPS 2022) is taking place from 28 November - 9 December 2022, as a hybrid event, based in New Orleans, USA. NeurIPS is the world’s largest conference in artificial intelligence (AI)…

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